Object-Oriented Programming (OOP) in Python Training in Madrid, Spain

This course provides an in-depth understanding of Object-Oriented Programming (OOP) principles and how to implement them using Python. It covers the design and structuring of code using classes, objects, inheritance, encapsulation, polymorphism, and more. Participants will engage in hands-on exercises to build modular, reusable, and maintainable applications using Python’s OOP capabilities.

Course Agenda

Introduction to OOP and Python Refresher

• Review of Python basics

• Procedural vs object-oriented programming

• Introduction to OOP concepts

Classes and Objects

• Creating and using classes

• Constructors and instance variables

• Methods and self parameter

Encapsulation and Data Hiding

• Private and protected attributes

• Property decorators and getter/setter methods

• Use cases for encapsulation

Inheritance in Python

• Creating base and derived classes

• Overriding methods

• super() and multiple inheritance

Polymorphism and Abstraction

• Method overloading and overriding

• Abstract base classes and interfaces

• Duck typing in Python

Special Methods and Operator Overloading

• __str__, __repr__, __len__, etc.

• Operator overloading and customization

• Comparison and arithmetic method implementation

Working with Class Relationships

• Composition and aggregation

• Association and dependency

• Structuring applications using OOP

Exception Handling in OOP

• Try-except blocks and exception hierarchy

• Custom exception classes

• Best practices in handling errors in object-oriented design

Hands-on Exercises